1077 Kuchiguse(20 分)

The Japanese language is notorious for its sentence ending particles. Personal preference of such particles can be considered as a reflection of the speaker's personality. Such a preference is called "Kuchiguse" and is often exaggerated artistically in Anime and Manga. For example, the artificial sentence ending particle "nyan~" is often used as a stereotype for characters with a cat-like personality:

  • Itai nyan~ (It hurts, nyan~)

  • Ninjin wa iyada nyan~ (I hate carrots, nyan~)

Now given a few lines spoken by the same character, can you find her Kuchiguse?

Input Specification:

Each input file contains one test case. For each case, the first line is an integer N (2≤N≤100). Following are N file lines of 0~256 (inclusive) characters in length, each representing a character's spoken line. The spoken lines are case sensitive.

Output Specification:

For each test case, print in one line the kuchiguse of the character, i.e., the longest common suffix of all N lines. If there is no such suffix, writenai.

Sample Input 1:

3
Itai nyan~
Ninjin wa iyadanyan~
uhhh nyan~

Sample Output 1:

nyan~

Sample Input 2:

3
Itai!
Ninjinnwaiyada T_T
T_T

Sample Output 2:

nai
 #include <iostream>
#include <algorithm>
#include <cstdio>
#include <cstring>
#include <string>
#include <map>
#include <stack>
#include <vector>
#include <queue>
#include <set>
#define LL long long
#define INF 0x3f3f3f3f
using namespace std;
const int MAX = 1e5 + ; int n, rt = , str_len = INF;
struct node
{
int id, cnt, next[];
} P[MAX];
char shortest_str[];
stack <char> st; void init(int x)
{
for (int i = ; i <= ; ++ i)
P[x].next[i] = -;
} void my_insert(char *S, int len, int x)
{
int now = ;
for (int i = ; i < len; ++ i)
{
if (P[now].next[S[i]] == -)
{
P[now].next[S[i]] = ++ rt;
init(rt);
}
now = P[now].next[S[i]];
P[now].cnt ++;
}
} int my_find(int len)
{
int now = ;
for (int i = ; i < len; ++ i)
{
if (P[now].next[shortest_str[i]] == -) return -;
now = P[now].next[shortest_str[i]];
}
return P[now].cnt;
} int main()
{
// freopen("Date1.txt", "r", stdin);
scanf("%d", &n);
init();
getchar();
for (int i = ; i < n; ++ i)
{
char buf[];
string temp;
getline(cin, temp);
int len = temp.size();
for (int j = , k = len - ; k >= ; -- k, ++ j)
buf[j] = temp[k];
buf[len] = '\0';
my_insert(buf, len, i);
if (len < str_len)
{
str_len = len;
strcpy(shortest_str, buf);
}
} if (P[P[].next[shortest_str[]]].cnt != n)
{
printf("nai\n");
return ;
}
for (int i = str_len; i >= ; -- i)
{
if (my_find(i) == n)
{
for (int j = ; j < i; ++ j)
st.push(shortest_str[j]);
break;
}
}
while (st.size())
{
printf("%c", st.top());
st.pop();
} return ;
}

pat 1077 Kuchiguse(20 分) (字典树)的更多相关文章

  1. PAT 甲级 1077 Kuchiguse (20 分)(简单,找最大相同后缀)

    1077 Kuchiguse (20 分)   The Japanese language is notorious for its sentence ending particles. Person ...

  2. PAT Advanced 1077 Kuchiguse (20 分)

    The Japanese language is notorious for its sentence ending particles. Personal preference of such pa ...

  3. PAT甲级——1077.Kuchiguse(20分)

    The Japanese language is notorious for its sentence ending particles. Personal preference of such pa ...

  4. 【PAT甲级】1077 Kuchiguse (20 分)(cin.ignore()吃掉输入n以后的回车接着用getine(cin,s[i])输入N行字符串)

    题意: 输入一个正整数N(<=100),接着输入N行字符串.输出N行字符串的最长公共后缀,否则输出nai. AAAAAccepted code: #include<bits/stdc++. ...

  5. PAT 1077 Kuchiguse

    1077 Kuchiguse (20 分)   The Japanese language is notorious for its sentence ending particles. Person ...

  6. 1077. Kuchiguse (20)【字符串处理】——PAT (Advanced Level) Practise

    题目信息 1077. Kuchiguse (20) 时间限制100 ms 内存限制65536 kB 代码长度限制16000 B The Japanese language is notorious f ...

  7. PAT 1077 Kuchiguse [一般]

    1077 Kuchiguse (20 分) The Japanese language is notorious for its sentence ending particles. Personal ...

  8. PAT (Advanced Level) 1077. Kuchiguse (20)

    最长公共后缀.暴力. #include<cstdio> #include<cstring> #include<cmath> #include<vector&g ...

  9. PAT甲题题解-1077. Kuchiguse (20)-找相同后缀

    #include <iostream> #include <cstdio> #include <algorithm> #include <string.h&g ...

随机推荐

  1. 机器学习:不平衡信息有序平均加权最近邻算法IFROWANN

    一 背景介绍 不平衡信息,特点是少数信息更珍贵,多数信息没有代表性.所以一般的分类算法会被多数信息影响,而忽略少数信息的重要性. 解决策略: 1.数据级别 (1)上采样:增加稀有类成本数 (2)下采样 ...

  2. [JZOJ5775]【NOIP2008模拟】农夫约的假期

    Description   在某国有一个叫农夫约的人,他养了很多羊,其中有两头名叫mm和hh,他们的歌声十分好听,被当地人称为“魔音”······  农夫约也有自己的假期呀!他要去海边度假,然而mm和 ...

  3. React+Antd+Antd-Img-Crop实现上传固定大小的裁剪头像或者图片(且可控制图片数量)

    见章知著 1024,程序员们节日快乐!本文主要讲述react配合antd以及react-img-crop第三方库实现一个可控的图片上传功能. 运行项目 需要具有node环境 第三方库安装 1.antd ...

  4. 玩转OneNET物联网平台之MQTT服务③ —— 远程控制LED(设备自注册)

    授人以鱼不如授人以渔,目的不是为了教会你具体项目开发,而是学会学习的能力.希望大家分享给你周边需要的朋友或者同学,说不定大神成长之路有博哥的奠基石... QQ技术互动交流群:ESP8266&3 ...

  5. 020 - FreeRTOS学习路线总结

    零.为什么写? 在H7-tools预售群里,有位朋友提出如何学习FreeRTOS这类的问题,便由此总结下自己的学习路线.最近又打算接触RTT,和FreeRTOS做个对比. 文章分两步来讲,学习路线和学 ...

  6. vue入门笔记(新手入门必看)

    一.什么是Vue? 1.    vue为我们提供了构建用户界面的渐进式框架,让我们不再去操作dom元素,直接对数据进行操作,让程序员不再浪费时间和精力在操作dom元素上,解放了双手,程序员只需要关心业 ...

  7. mysql8 的安装和设置

    mysql8的安装 写在前面 与5.*的版本整体差不多,但是安装细节决定成败 下载 点击https://dev.mysql.com/downloads/file/?id=476233,也可以点这里,有 ...

  8. 面试又被 Java 基础难住了?推荐你看看这篇文章。

    本文已经收录自 JavaGuide (59k+ Star):[Java学习+面试指南] 一份涵盖大部分Java程序员所需要掌握的核心知识. 1. 面向对象和面向过程的区别 面向过程 :面向过程性能比面 ...

  9. video2

    <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title> ...

  10. seq2seq+attention解读

    1什么是注意力机制? Attention是一种用于提升Encoder + Decoder模型的效果的机制. 2.Attention Mechanism原理 要介绍Attention Mechanism ...